Data Engineer (Databricks)
Livefront
$120,000–$145,000from the description
Jul 21, 2026
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Jul 22, 2026
What this job asks for AI summary
A data engineering role at a digital product consultancy, focused on designing and building production-grade data platforms on Databricks. Day-to-day work spans constructing data pipelines, Lakehouse architectures, and AI/ML foundations — while collaborating with product and backend teams to connect governed data to client-facing applications. Suits an experienced Databricks practitioner comfortable working directly with clients across industries.
Mid level · 3+ years · Remote · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 150 people nationally plausibly meet what this posting asks for (database architects). range 45–220
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
No office location is specified in the posting; Livefront is a Minneapolis-based consultancy but the role appears to be remote or location-flexible — no CBSA or state has been set.
SOC classification is a genuine toss-up: the role centers on designing and building Lakehouse/data-platform architectures (15-1243 Database Architects) but also involves substantial pipeline coding in PySpark/Python and CI/CD delivery work typical of Software Developers (15-1252). 15-1243 was chosen as primary because Lakehouse architecture, data modeling, Unity Catalog governance, and medallion design are the stated core deliverables.
Seniority is assessed as Mid despite the 3–5 year range stated in the posting. The requirements describe solid production delivery on a team rather than org-wide technical authority, and the lower bound of the stated range (3 years, 2 in Databricks) is consistent with a mid-level engineer. The title carries no seniority modifier.
AWS and Azure are listed together as a joint requirement ('primarily AWS and Azure'); both are marked required. GCP is explicitly called out as 'a plus' and is marked preferred.
Java, Go, and Scala are listed together as interchangeable bonus-point languages; Java is used as the primary name with Go and Scala in alternatives.
Kafka and Kinesis are listed as interchangeable real-time streaming examples under Bonus Points; Kafka is primary with Kinesis as the alternative.
Databricks certifications (Data Engineer Associate/Professional, Apache Spark Developer) are mentioned as meaningful signals and actively encouraged but are not a hard gate — omitted from the skills list as they are credentials rather than technologies.
The compensation range of $120,000–$145,000 is stated without an explicit 'per year' label, but the figures are unambiguously annual; period is set to Year.
Read the full posting
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